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Deepfake Technology Market

Publisher Fortune Business Insights Pvt. Ltd.
Published Aug 01, 2024
Length 106 Pages
SKU # FOB19136334

Description

Deepfake Technology Market



Growth Factors of Deepfake Technology Market

The Deepfake Technology market size was valued at USD 6.26 billion in 2023, and the market is now expected to grow from USD 7.57 billion in 2024 to USD 38.44 billion by 2032, exhibiting a CAGR of 22.5% during the forecast period of 2024-2032.

The pandemic of COVID-19 had a detrimental effect on the deepfake technology market growth due to disruption in research and development operations, postponement of project schedules and decrease in investments. Economic uncertainty during the pandemic resulted in budget cuts for non-essential technologies, thereby reducing their uptake speed. Moreover, fears about misuse of deepfakes grew due to heightened scrutiny over misinformation that came with this health crisis, further affecting market performance.

Deepfake technology usage has gained body heat due to its potential in enhancing Augmented Reality (AR) and Virtual Reality (VR) in Deepfake Technology Market share. These technologies mix reality with digital stuff or create completely immersive digital environments and their innovative applications can be found in various fields like education, gaming, training or therapy.

The use of deepfake technology to create these AI models has revolutionized advertising and clothing advertising. To illustrate their products in other situations without having to use costly photo shoots or real-life examples, deepFake Solutions allow brands to develop hyper-realistic models for advertising apparel promotions. It is worth noting that one of the significant areas where this kind of technology finds application in ads is through creating virtual models capable of being manipulated according to varying campaigns and targets.

Comprehensive Deepfake Technology Market

The Deepfake Technology market is growing at an rampant rate due to its market segmentation. These segmentations are methodically segregated by End User Analysis, by Component Analysis. The End User Analysis includes media & entertainment, government organizations, legal, retail & e-commerce, and others (healthcare and others). The Component Analysis includes software and services.

The Asia Pacific area lead the Deepfake Technology market with the resource of estimate a market size of USD 2.23 billion in 2023 due to the technological advancements in AI and other new-age technologies.

The top players in the market play a crucial role in the Information & Communication Technology industry assuring development and setting market standards. These players include, DeepfakesWeb.com (Japan), Deepbrain AI (U.S.), Reface (Ukraine), WOMBO Studios Inc. (Canada), MyHeritage Limited (Israel), Zaodownload.com (China), Sensity AI (Netherlands), Icons8 LLC (U.S.), TrueBees (U-Hopper S.r.l) (Italy), Botika E.Y Ltd. (Israel) these market players provide a competitive landscape.

In January 2024, Icons8 has introduced its Human Generator tools. As a result, it has propelled the growth of the organization in producing deepfake content.

Segmentation Table

ATTRIBUTE DETAILS

Study Period 2019-2032

Base Year 2023

Estimated Year 2024

Forecast Period 2024-2032

Historical Period 2019-2022

Growth Rate CAGR of 22.5% from 2024 to 2032

Unit Value (USD Billion)

Segmentation By Component
  • Software
- Deepfake Creation

- Deepfake Detection
  • Services
By End User
  • Government Organizations
  • Media and Entertainment
  • Retail and E-commerce
  • Legal
  • Others (Healthcare and others)
By Region
  • North America (By Component, By End User, and By Country)
- U.S.

- Canada

- Mexico
  • South America (By Component, By End User, and By Country)
- Brazil

- Argentina

- Rest of South America
  • Europe (By Component, By End User, and By Country)
- U.K.

- Germany

- France

- Italy

- Spain

- Russia

- Benelux

- Nordics

- Rest of EU
  • Middle East & Africa (By Component, By End User, and By Country)
- Turkey

- Israel

- GCC

- North Africa

- South Africa

- Rest of Middle East and Africa
  • Asia Pacific (By Component, By End User, and By Country)
- China

- Japan

- India

- South Korea

- ASEAN

- Oceania

- Rest of Asia Pacific


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Table of Contents

106 Pages
1. Introduction
1.1. Definition, By Segment
1.2. Research Methodology/Approach
1.3. Data Sources
2. Executive Summary
3. Market Dynamics
3.1. Macro and Micro Economic Indicators
3.2. Drivers, Restraints, Opportunities and Trends
3.3. Impact of Generative AI
4. Competition Landscape
4.1. Business Strategies Adopted by Key Players
4.2. Consolidated SWOT Analysis of Key Players
4.3. Global Deepfake Technology Key Players Market Share/Ranking, 2023
5. Global Deepfake Technology Market Size Estimates and Forecasts, By Segments, 2019-2032
5.1. Key Findings
5.2. By Component (USD)
5.2.1. Software
5.2.1.1. Deepfake Creation
5.2.1.2. Deepfake Detection
5.2.2. Services
5.3. By End User (USD)
5.3.1. Government Organizations
5.3.2. Media and Entertainment
5.3.3. Retail and E-commerce
5.3.4. Legal
5.3.5. Others (Healthcare and others)
5.4. By Region (USD)
5.4.1. North America
5.4.2. South America
5.4.3. Europe
5.4.4. Middle East & Africa
5.4.5. Asia Pacific
6. North America Deepfake Technology Market Size Estimates and Forecasts, By Segments, 2019-2032
6.1. Key Findings
6.2. By Component (USD)
6.2.1. Software
6.2.1.1. Deepfake Creation
6.2.1.2. Deepfake Detection
6.2.2. Services
6.3. By End User (USD)
6.3.1. Government Organizations
6.3.2. Media and Entertainment
6.3.3. Retail and E-commerce
6.3.4. Legal
6.3.5. Others (Healthcare and others)
6.4. By Country (USD)
6.4.1. United States
6.4.2. Canada
6.4.3. Mexico
7. South America Deepfake Technology Market Size Estimates and Forecasts, By Segments, 2019-2032
7.1. Key Findings
7.2. By Component (USD)
7.2.1. Software
7.2.1.1. Deepfake Creation
7.2.1.2. Deepfake Detection
7.2.2. Services
7.3. By End User (USD)
7.3.1. Government Organizations
7.3.2. Media and Entertainment
7.3.3. Retail and E-commerce
7.3.4. Legal
7.3.5. Others (Healthcare and others)
7.4. By Country (USD)
7.4.1. Brazil
7.4.2. Argentina
7.4.3. Rest of South America
8. Europe Deepfake Technology Market Size Estimates and Forecasts, By Segments, 2019-2032
8.1. Key Findings
8.2. By Component (USD)
8.2.1. Software
8.2.1.1. Deepfake Creation
8.2.1.2. Deepfake Detection
8.2.2. Services
8.3. By End User (USD)
8.3.1. Government Organizations
8.3.2. Media and Entertainment
8.3.3. Retail and E-commerce
8.3.4. Legal
8.3.5. Others (Healthcare and others)
8.4. By Country (USD)
8.4.1. United Kingdom
8.4.2. Germany
8.4.3. France
8.4.4. Italy
8.4.5. Spain
8.4.6. Russia
8.4.7. Benelux
8.4.8. Nordics
8.4.9. Rest of Europe
9. Middle East & Africa Deepfake Technology Market Size Estimates and Forecasts, By Segments, 2019-2032
9.1. Key Findings
9.2. By Component (USD)
9.2.1. Software
9.2.1.1. Deepfake Creation
9.2.1.2. Deepfake Detection
9.2.2. Services
9.3. By End User (USD)
9.3.1. Government Organizations
9.3.2. Media and Entertainment
9.3.3. Retail and E-commerce
9.3.4. Legal
9.3.5. Others (Healthcare and others)
9.4. By Country (USD)
9.4.1. Turkey
9.4.2. Israel
9.4.3. GCC
9.4.4. North Africa
9.4.5. South Africa
9.4.6. Rest of MEA
10. Asia Pacific Deepfake Technology Market Size Estimates and Forecasts, By Segments, 2019-2032
10.1. Key Findings
10.2. By Component (USD)
10.2.1. Software
10.2.1.1. Deepfake Creation
10.2.1.2. Deepfake Detection
10.2.2. Services
10.3. By End User (USD)
10.3.1. Government Organizations
10.3.2. Media and Entertainment
10.3.3. Retail and E-commerce
10.3.4. Legal
10.3.5. Others (Healthcare and others)
10.4. By Country (USD)
10.4.1. China
10.4.2. Japan
10.4.3. India
10.4.4. South Korea
10.4.5. ASEAN
10.4.6. Oceania
10.4.7. Rest of Asia Pacific
11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)
11.1. DeepfakesWeb.com
11.1.1. Overview
11.1.1.1. Headquarters
11.1.1.2. Offerings/Business Segments
11.2. Reface
11.2.1. Overview
11.2.1.1. Key Management
11.2.1.2. Headquarters
11.2.1.3. Offerings/Business Segments
11.2.2. Key Details (Key details are consolidated data and not product/service specific)
11.2.2.1. Employee Size
11.2.2.2. Recent Developments
11.2.2.3. Industries Served
11.3. MyHeritage Limited
11.3.1. Overview
11.3.1.1. Key Management
11.3.1.2. Headquarters
11.3.1.3. Offerings/Business Segments
11.3.2. Key Details (Key details are consolidated data and not product/service specific)
11.3.2.1. Employee Size
11.3.2.2. Recent Developments
11.4. Deepbrain AI
11.4.1. Overview
11.4.1.1. Key Management
11.4.1.2. Headquarters
11.4.1.3. Offerings/Business Segments
11.4.2. Key Details (Key details are consolidated data and not product/service specific)
11.4.2.1. Employee Size
11.4.2.2. Recent Developments
11.4.2.3. Industries Served
11.5. Zaodownload.com
11.5.1. Overview
11.5.1.1. Key Management
11.5.1.2. Headquarters
11.5.1.3. Offerings/Business Segments
11.6. WOMBO Studios Inc.
11.6.1. Overview
11.6.1.1. Key Management
11.6.1.2. Headquarters
11.6.1.3. Offerings/Business Segments
11.6.2. Key Details (Key details are consolidated data and not product/service specific)
11.6.2.1. Recent Developments
11.7. Icons8 LLC
11.7.1. Overview
11.7.1.1. Key Management
11.7.1.2. Headquarters
11.7.1.3. Offerings/Business Segments
11.7.2. Key Details (Key details are consolidated data and not product/service specific)
11.7.2.1. Employee Size
11.7.2.2. Recent Developments
11.8. Sensity AI
11.8.1. Overview
11.8.1.1. Key Management
11.8.1.2. Headquarters
11.8.1.3. Offerings/Business Segments
11.8.2. Key Details (Key details are consolidated data and not product/service specific)
11.8.2.1. Industries Served
11.9. Botika E.Y Ltd.
11.9.1. Overview
11.9.1.1. Key Management
11.9.1.2. Headquarters
11.9.1.3. Offerings/Business Segments
11.9.2. Key Details (Key details are consolidated data and not product/service specific)
11.9.2.1. Employee Size
11.9.2.2. Recent Developments
11.10. TrueBees (U-Hopper S.r.l)
11.10.1. Overview
11.10.1.1. Key Management
11.10.1.2. Headquarters
11.10.1.3. Offerings/Business Segments
11.10.2. Key Details (Key details are consolidated data and not product/service specific)
11.10.2.1. Employee Size
11.10.2.2. Major End Users
12. Key Takeaways

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